GPT-4.1 vs GPT-4.1 Mini
GPT-4.1 leads GPT-4.1 Mini on the Artificial Analysis Intelligence Index, 12.7 to 10.2, and GPT-4.1 Mini costs 5.0x less per output token ($1.60 vs $8.00 per million). Updated October 22, 2026; 84 benchmarks have a result for both.
GPT-4.1 or GPT-4.1 Mini: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-4.1 for a lower cost per solved task ($0.37 against $1.818) and work measured by LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.
- Shared results
- 84
- GPT-4.1 only
- 8
- GPT-4.1 Mini only
- 2
- Like-for-like categories
- 8 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
GPT-4.1
GPT-4.1 leads, 12.7 against 10.2.
Same board, both measured
Reasoning
GPQA Diamond
GPT-4.1 Mini
GPT-4.1 Mini leads, 67.9% against 65.4%.
Same board, both measured
Math
AIME
GPT-4.1 Mini
GPT-4.1 Mini leads, 49.4% against 39.6%.
Same board, both measured
Knowledge
MMLU Pro
GPT-4.1
GPT-4.1 leads, 80.5% against 77.2%.
Same board, both measured
Web design
Design Arena: websites
GPT-4.1
GPT-4.1 leads, 1038 against 997.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-4.1 Mini
GPT-4.1 $0.0060, GPT-4.1 Mini $0.0012 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-4.1
GPT-4.1 $0.37, GPT-4.1 Mini $1.818.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-4.1 not benchmarked, GPT-4.1 Mini not benchmarked.
- Widest category
- General, 7.3 points apart on average over 30 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): GPT-4.1 68.3% against GPT-4.1 Mini 44.0%, 24.3 points apart on a 0 to 100 scale.
- Output price
- GPT-4.1 $8.00 against GPT-4.1 Mini $1.60 per million output tokens, 5.0x apart.
- Context window
- Both take 1.05M tokens.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | GPT-4.1 | Bars | GPT-4.1 Mini | Ties |
|---|---|---|---|---|
| Coding | 6 | 2 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 1 | ||
| Reasoning | 12 | 2 | ||
| Math | 2 | 8 | ||
| Knowledge | 12 | 0 | ||
| Web design | 6 | 0 | ||
| General | 29 | 1 | ||
| All shared boards | 70 | 14 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index62
| Benchmark | GPT-4.1 | GPT-4.1 Mini | Leader |
|---|---|---|---|
| Aider polyglot | 52.4% | 32.4% | GPT-4.1 |
| SWE-bench Verified | 39.6% | 23.9% | GPT-4.1 |
| SWE-bench Multimodal | 31.1% | Not measured | Only GPT-4.1 measured |
| AA Coding Index | Not measured | 20.2 | Only GPT-4.1 Mini measured |
| LiveCodeBench (Vals AI) | 54.7% | 58.2% | GPT-4.1 Mini |
| LiveCodeBench (Artificial Analysis run) | 45.7% | 48.3% | GPT-4.1 Mini |
| Terminal-Bench Hard (Artificial Analysis run) | 13.6% | 7.6% | GPT-4.1 |
| WeirdML | 39.0% | 37.6% | GPT-4.1 |
| ALE-Bench | 558.1 | Not measured | Only GPT-4.1 measured |
| LMArena Text: coding | 1390 | 1367 | GPT-4.1 |
| LMArena Text: software and IT | 1391 | 1360 | GPT-4.1 |
| SciCode | 4.6% | Not measured | Only GPT-4.1 measured |
| Neither model has a result on the other 27 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-4.1 | GPT-4.1 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.7 | 10.2 | GPT-4.1 |
| Epoch Capabilities Index | 136.7 | 134.9 | GPT-4.1 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | GPT-4.1 | GPT-4.1 Mini | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 47.1% | 52.9% | GPT-4.1 Mini |
| Berkeley Function Calling Leaderboard (BFCL) | 54.0% | 50.4% | GPT-4.1 |
| BrowseComp-Plus | 36.4% | Not measured | Only GPT-4.1 measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index122
| Benchmark | GPT-4.1 | GPT-4.1 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | 65.4% | 67.9% | GPT-4.1 Mini |
| MMMU Pro (Vals AI) | 72.4% | 70.5% | GPT-4.1 |
| GPQA Diamond (Artificial Analysis run) | 66.6% | 66.4% | GPT-4.1 |
| Humanity's Last Exam (Artificial Analysis run) | 4.2% | 5.0% | GPT-4.1 Mini |
| GPQA Diamond (Epoch AI run) | 66.9% | 65.8% | GPT-4.1 |
| ARC-AGI | 5.5% | 3.5% | GPT-4.1 |
| ARC-AGI-2 | 0.4% | 0.0% | GPT-4.1 |
| SimpleBench | 27.0% | Not measured | Only GPT-4.1 measured |
| Chess puzzles | 3.0% | 1.0% | GPT-4.1 |
| Mystery game puzzles | Not measured | 7.0% | Only GPT-4.1 Mini measured |
| LMArena Text: hard prompts | 1384 | 1349 | GPT-4.1 |
| LMArena Text: expert | 1364 | 1338 | GPT-4.1 |
| LMArena Text: hard prompts in English | 1393 | 1362 | GPT-4.1 |
| LMArena Vision: diagrams | 1215 | 1182 | GPT-4.1 |
| LMArena Vision: homework | 1248 | 1214 | GPT-4.1 |
| Kagi LLM Benchmark | 52.3% | 48.6% | GPT-4.1 |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index28
| Benchmark | GPT-4.1 | GPT-4.1 Mini | Leader |
|---|---|---|---|
| AIME | 39.6% | 49.4% | GPT-4.1 Mini |
| MATH 500 (Vals AI) | 87.2% | 88.0% | GPT-4.1 Mini |
| MGSM (Vals AI) | 87.7% | 87.8% | GPT-4.1 Mini |
| AA Math Index | 34.7 | 46.3 | GPT-4.1 Mini |
| AIME 2025 (Artificial Analysis run) | 34.7% | 46.3% | GPT-4.1 Mini |
| OTIS Mock AIME | 38.3% | 44.7% | GPT-4.1 Mini |
| FrontierMath, tiers 1 to 3 | 6.0% | 6.7% | GPT-4.1 Mini |
| MATH level 5 | 83.0% | 87.3% | GPT-4.1 Mini |
| LMArena Text: math | 1369 | 1343 | GPT-4.1 |
| LMArena Text: mathematical work | 1360 | 1347 | GPT-4.1 |
| Neither model has a result on the other 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index120
| Benchmark | GPT-4.1 | GPT-4.1 Mini | Leader |
|---|---|---|---|
| MMLU Pro | 80.5% | 77.2% | GPT-4.1 |
| LegalBench (Vals AI) | 83.1% | 78.0% | GPT-4.1 |
| CaseLaw (Vals AI) | 69.9% | Not measured | Only GPT-4.1 measured |
| CorpFin (Vals AI) | 63.0% | 57.9% | GPT-4.1 |
| TaxEval (Vals AI) | 75.1% | 71.9% | GPT-4.1 |
| MortgageTax (Vals AI) | 65.9% | 65.5% | GPT-4.1 |
| MedQA (Vals AI) | 91.2% | 84.6% | GPT-4.1 |
| MMLU Pro (Artificial Analysis run) | 80.6% | 78.1% | GPT-4.1 |
| SimpleQA Verified | 31.1% | 12.7% | GPT-4.1 |
| GeoBench | 72.0% | Not measured | Only GPT-4.1 measured |
| LMArena Text: science | 1382 | 1328 | GPT-4.1 |
| LMArena Text: medicine and healthcare | 1379 | 1324 | GPT-4.1 |
| LMArena Text: legal and government | 1399 | 1343 | GPT-4.1 |
| LMArena Text: business and finance | 1369 | 1322 | GPT-4.1 |
| FACTS Benchmark Suite | 45.8% | Not measured | Only GPT-4.1 measured |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | GPT-4.1 | GPT-4.1 Mini | Leader |
|---|---|---|---|
| Design Arena: websites | 1038 | 997 | GPT-4.1 |
| Design Arena: UI components | 997 | 958 | GPT-4.1 |
| Design Arena: game dev | 1079 | 1070 | GPT-4.1 |
| Design Arena: data viz | 1104 | 1034 | GPT-4.1 |
| Design Arena: 3D | 849 | 836 | GPT-4.1 |
| Design Arena: all code categories | 1025 | 993 | GPT-4.1 |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index291
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4.1 | GPT-4.1 Mini | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
GPT-4.1 Mini costs less
Repository review
50K input + 3K output tokens
GPT-4.1 Mini costs less
Agent loop
200K input + 10K output tokens
GPT-4.1 Mini costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | OpenAI GPT-4.1 | OpenAI GPT-4.1 Mini |
|---|---|---|
| Maker | OpenAI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | April 14, 2025 | April 14, 2025 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $0.40 |
| Output $/Mtok | $8.00 | $1.60 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | $0.37 | $1.818 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4.1 better than GPT-4.1 Mini for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4.1 for a lower cost per solved task ($0.37 against $1.818) and work measured by LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.
Which is cheaper, GPT-4.1 or GPT-4.1 Mini?
GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens; GPT-4.1 Mini costs $0.40 and $1.60. Per solved SWE-bench Verified task, GPT-4.1 costs $0.37 and GPT-4.1 Mini $1.818.
Which has the bigger context window, GPT-4.1 or GPT-4.1 Mini?
Neither: both take 1.05M tokens.
How many benchmarks is the GPT-4.1 vs GPT-4.1 Mini comparison based on?
84 benchmarks have a result for both models as of October 22, 2026. GPT-4.1's coding index rests on 0 independent benchmarks and GPT-4.1 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.